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Build hot data science, not cold

Brandon Cosley
Towards Data Science
6 min readFeb 10, 2022

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Image from Pixabay by thommas68

In data science as in life, being hot is typically preferred to being cold. After all, cold is associated with old things, death, and is literally defined by a lack of [molecular] motion. Hot on the other hand conjures images of fire, sweat, and motivation.

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